Results

Asso verbal mem accuracy

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = VMemoryAsso_CorrectPercent ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.108 0.121 1.000
COVID_Grouping 0.500 0.892 8.273 8.273 1.278
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - VMemoryAsso_CorrectPercent
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.892 0.108 8.273
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept 0.065 0.065 -0.067 0.192
COVID_Grouping 0 0.175 0.062 0.051 0.300
1 -0.175 0.062 -0.301 -0.052
Q1.01Age_Text -0.013 0.004 -0.021 -0.005
Q1.02Sex_Quantised -0.095 0.107 -0.311 0.115
Q1.03Country_Quantised -0.014 0.030 -0.074 0.045
Q1.08.Education_Quantised 0.068 0.024 0.021 0.116
Q2.04.21Depression 0.100 0.161 -0.227 0.422
Q2.04.22Anxiety -0.023 0.150 -0.324 0.277

Model Averaged Q-Q Plot

Descriptives

Descriptives - VMemoryAsso_CorrectPercent
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 87 0.249 1.019 0.109 4.095 0.032 0.466
1 209 -0.104 0.976 0.067 -9.416 -0.237 0.029

Asso verbal mem RT

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = VMemoryAsso_RTOverall ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.873 6.887 1.000
COVID_Grouping 0.500 0.127 0.145 0.145 1.360
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - VMemoryAsso_RTOverall
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.127 0.873 0.145
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -7.255×10-4 0.057 -0.114 0.114
COVID_Grouping 0 -0.013 0.061 -0.135 0.111
1 0.013 0.061 -0.112 0.134
Q1.01Age_Text 0.018 0.004 0.010 0.026
Q1.02Sex_Quantised -0.094 0.107 -0.310 0.117
Q1.03Country_Quantised 0.029 0.030 -0.033 0.089
Q1.08.Education_Quantised -0.004 0.024 -0.052 0.043
Q2.04.21Depression -0.090 0.160 -0.415 0.232
Q2.04.22Anxiety -0.237 0.151 -0.541 0.062

Model Averaged Q-Q Plot

Descriptives

Descriptives - VMemoryAsso_RTOverall
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 84 -0.065 0.995 0.109 -15.214 -0.281 0.151
1 208 0.026 1.003 0.070 37.988 -0.111 0.164

item verbal mem accu

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = VMemoryRecog_CorrectPercent ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.290 0.408 1.000
COVID_Grouping 0.500 0.710 2.448 2.448 1.140
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - VMemoryRecog_CorrectPercent
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.710 0.290 2.448
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept 0.044 0.068 -0.089 0.179
COVID_Grouping 0 0.149 0.064 0.023 0.276
1 -0.149 0.064 -0.277 -0.024
Q1.01Age_Text -0.003 0.004 -0.011 0.005
Q1.02Sex_Quantised -0.095 0.108 -0.313 0.117
Q1.03Country_Quantised -0.022 0.030 -0.082 0.037
Q1.08.Education_Quantised 0.036 0.024 -0.011 0.084
Q2.04.21Depression -0.005 0.162 -0.335 0.321
Q2.04.22Anxiety 0.044 0.152 -0.262 0.345

Model Averaged Q-Q Plot

Descriptives

Descriptives - VMemoryRecog_CorrectPercent
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 87 0.216 0.865 0.093 3.998 0.032 0.401
1 209 -0.090 1.040 0.072 -11.543 -0.232 0.052

item verbal mem RTs

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = VMemoryRecog_RTOverall ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.616 1.602 1.000
COVID_Grouping 0.500 0.384 0.624 0.624 1.565
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - VMemoryRecog_RTOverall
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.384 0.616 0.624
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.017 0.062 -0.144 0.104
COVID_Grouping 0 -0.106 0.062 -0.230 0.017
1 0.106 0.062 -0.018 0.228
Q1.01Age_Text 0.018 0.004 0.010 0.027
Q1.02Sex_Quantised -0.119 0.107 -0.335 0.092
Q1.03Country_Quantised 0.019 0.030 -0.042 0.080
Q1.08.Education_Quantised -0.027 0.024 -0.074 0.020
Q2.04.21Depression -0.241 0.160 -0.566 0.079
Q2.04.22Anxiety -0.021 0.150 -0.322 0.278

Model Averaged Q-Q Plot

Descriptives

Descriptives - VMemoryRecog_RTOverall
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 84 -0.175 0.918 0.100 -5.247 -0.374 0.024
1 207 0.071 1.025 0.071 14.440 -0.069 0.211

item nonverb mem accu

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = NVMemoryRecog_CorrectPercent ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.868 6.604 1.000
COVID_Grouping 0.500 0.132 0.151 0.151 1.320
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - NVMemoryRecog_CorrectPercent
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.132 0.868 0.151
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.001 0.062 -0.125 0.123
COVID_Grouping 0 -0.020 0.066 -0.151 0.112
1 0.020 0.066 -0.113 0.149
Q1.01Age_Text -0.003 0.004 -0.011 0.005
Q1.02Sex_Quantised -0.006 0.113 -0.235 0.216
Q1.03Country_Quantised 0.036 0.031 -0.026 0.098
Q1.08.Education_Quantised 0.003 0.025 -0.047 0.052
Q2.04.21Depression -0.040 0.170 -0.384 0.302
Q2.04.22Anxiety -0.022 0.158 -0.338 0.292

Model Averaged Q-Q Plot

Descriptives

Descriptives - NVMemoryRecog_CorrectPercent
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 83 -0.025 0.957 0.105 -37.829 -0.234 0.184
1 185 0.011 1.021 0.075 89.965 -0.137 0.159

item nonverb mem RT

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = NVMemoryRecog_RTOverall ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.597 1.482 1.000
COVID_Grouping 0.500 0.403 0.675 0.675 1.660
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - NVMemoryRecog_RTOverall
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.403 0.597 0.675
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.018 0.063 -0.145 0.105
COVID_Grouping 0 -0.109 0.062 -0.233 0.014
1 0.109 0.062 -0.016 0.232
Q1.01Age_Text 0.017 0.004 0.009 0.025
Q1.02Sex_Quantised -0.064 0.108 -0.282 0.147
Q1.03Country_Quantised -0.010 0.030 -0.069 0.049
Q1.08.Education_Quantised -0.038 0.024 -0.085 0.009
Q2.04.21Depression -0.224 0.161 -0.550 0.099
Q2.04.22Anxiety 0.097 0.151 -0.206 0.398

Model Averaged Q-Q Plot

Descriptives

Descriptives - NVMemoryRecog_RTOverall
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 86 -0.159 0.918 0.099 -5.765 -0.356 0.038
1 203 0.067 1.028 0.072 15.241 -0.075 0.210

asso nonverb mem accu

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = NVMemoryAsso_CorrectPercent ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.083 0.091 1.000
COVID_Grouping 0.500 0.917 11.039 11.039 3.191
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - NVMemoryAsso_CorrectPercent
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.917 0.083 11.039
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept 0.069 0.064 -0.062 0.195
COVID_Grouping 0 0.181 0.062 0.058 0.307
1 -0.181 0.062 -0.308 -0.059
Q1.01Age_Text -0.013 0.004 -0.021 -0.005
Q1.02Sex_Quantised -0.025 0.107 -0.240 0.184
Q1.03Country_Quantised -0.015 0.030 -0.075 0.043
Q1.08.Education_Quantised 0.049 0.024 0.002 0.097
Q2.04.21Depression 0.161 0.161 -0.164 0.484
Q2.04.22Anxiety -0.334 0.152 -0.640 -0.035

Model Averaged Q-Q Plot

Descriptives

Descriptives - NVMemoryAsso_CorrectPercent
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 87 0.238 1.034 0.111 4.341 0.018 0.459
1 209 -0.099 0.971 0.067 -9.787 -0.232 0.033

asso nonverb mem RTs

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = NVMemoryAsso_RTOverall ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.859 6.114 1.000
COVID_Grouping 0.500 0.141 0.164 0.164 1.977
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - NVMemoryAsso_RTOverall
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.141 0.859 0.164
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.002 0.058 -0.118 0.114
COVID_Grouping 0 -0.035 0.062 -0.159 0.089
1 0.035 0.062 -0.090 0.158
Q1.01Age_Text 0.014 0.004 0.006 0.022
Q1.02Sex_Quantised -0.141 0.108 -0.361 0.071
Q1.03Country_Quantised 0.007 0.030 -0.054 0.067
Q1.08.Education_Quantised -0.030 0.024 -0.078 0.017
Q2.04.21Depression -0.127 0.162 -0.455 0.197
Q2.04.22Anxiety -0.115 0.152 -0.421 0.186

Model Averaged Q-Q Plot

Descriptives

Descriptives - NVMemoryAsso_RTOverall
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 86 -0.058 1.013 0.109 -17.517 -0.275 0.159
1 209 0.024 0.996 0.069 41.852 -0.112 0.160

Digit task max span

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = DS_MaxSpan ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.180 0.220 1.000
COVID_Grouping 0.500 0.820 4.550 4.550 0.710
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - DS_MaxSpan
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.820 0.180 4.550
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept 0.056 0.068 -0.081 0.189
COVID_Grouping 0 0.166 0.064 0.039 0.295
1 -0.166 0.064 -0.296 -0.040
Q1.01Age_Text -0.004 0.004 -0.013 0.004
Q1.02Sex_Quantised -0.148 0.111 -0.373 0.069
Q1.03Country_Quantised 0.047 0.030 -0.014 0.108
Q1.08.Education_Quantised 0.017 0.024 -0.031 0.065
Q2.04.21Depression 0.008 0.161 -0.318 0.331
Q2.04.22Anxiety -0.144 0.151 -0.449 0.157

Model Averaged Q-Q Plot

Descriptives

Descriptives - DS_MaxSpan
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 84 0.255 1.151 0.126 4.522 0.005 0.504
1 199 -0.107 0.911 0.065 -8.475 -0.235 0.020

digit task score

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = DS_Score ~ COVID_Grouping,
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model 0.500 0.333 0.499 1.000
COVID_Grouping 0.500 0.667 2.004 2.004 0.010
Analysis of Effects - DS_Score
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.667 0.333 2.004
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept 0.039 0.059 -0.058 0.175
COVID_Grouping 0 0.144 0.063 0.019 0.268
1 -0.144 0.063 -0.269 -0.020

Model Averaged Q-Q Plot

Descriptives

Descriptives - DS_Score
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 84 0.215 1.162 0.127 5.394 -0.037 0.468
1 199 -0.091 0.911 0.065 -10.020 -0.218 0.036

cat fluency correct

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = CF_CorrectExclRep ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.812 4.330 1.000
COVID_Grouping 0.500 0.188 0.231 0.231 1.397
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - CF_CorrectExclRep
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.188 0.812 0.231
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.006 0.067 -0.141 0.126
COVID_Grouping 0 -0.058 0.074 -0.206 0.092
1 0.058 0.074 -0.093 0.204
Q1.01Age_Text -0.011 0.005 -0.021 -0.002
Q1.02Sex_Quantised -0.204 0.117 -0.441 0.026
Q1.03Country_Quantised -0.087 0.034 -0.155 -0.021
Q1.08.Education_Quantised 0.080 0.027 0.026 0.136
Q2.04.21Depression 0.291 0.172 -0.055 0.636
Q2.04.22Anxiety -0.030 0.159 -0.351 0.285

Model Averaged Q-Q Plot

Descriptives

Descriptives - CF_CorrectExclRep
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 55 -0.120 0.944 0.127 -7.853 -0.375 0.135
1 173 0.038 1.017 0.077 26.609 -0.114 0.191

cat fluency repetitions

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = CF_repititions ~ COVID_Grouping,
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model 0.500 0.649 1.846 1.000
COVID_Grouping 0.500 0.351 0.542 0.542 0.024
Analysis of Effects - CF_repititions
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.351 0.649 0.542
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept 0.021 0.054 -0.058 0.172
COVID_Grouping 0 0.113 0.074 -0.036 0.260
1 -0.113 0.074 -0.261 0.035

Model Averaged Q-Q Plot

Descriptives

Descriptives - CF_repititions
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 55 0.187 1.125 0.152 6.022 -0.117 0.491
1 173 -0.059 0.953 0.072 -16.042 -0.202 0.084

cat fluency repetitions original covar

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = CF_repititions ~ COVID_Grouping,
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model 0.500 0.649 1.846 1.000
COVID_Grouping 0.500 0.351 0.542 0.542 0.024
Analysis of Effects - CF_repititions
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.351 0.649 0.542
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept 0.021 0.054 -0.058 0.172
COVID_Grouping 0 0.113 0.074 -0.036 0.260
1 -0.113 0.074 -0.261 0.035

Model Averaged Q-Q Plot

Descriptives

Descriptives - CF_repititions
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 55 0.187 1.125 0.152 6.022 -0.117 0.491
1 173 -0.059 0.953 0.072 -16.042 -0.202 0.084

Syntax task acc

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = SynCorrPerc ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.562 1.281 1.000
COVID_Grouping 0.500 0.438 0.780 0.780 2.838
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - SynCorrPerc
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.438 0.562 0.780
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept 0.021 0.064 -0.104 0.152
COVID_Grouping 0 0.114 0.063 -0.012 0.240
1 -0.114 0.063 -0.241 0.011
Q1.01Age_Text -0.012 0.004 -0.020 -0.004
Q1.02Sex_Quantised -0.148 0.108 -0.366 0.065
Q1.03Country_Quantised -0.094 0.030 -0.155 -0.034
Q1.08.Education_Quantised 0.036 0.024 -0.012 0.084
Q2.04.21Depression 0.252 0.164 -0.078 0.583
Q2.04.22Anxiety -0.208 0.154 -0.518 0.095

Model Averaged Q-Q Plot

Descriptives

Descriptives - SynCorrPerc
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 83 0.161 0.853 0.094 5.299 -0.025 0.347
1 199 -0.067 1.050 0.074 -15.630 -0.214 0.080

syntax task RT

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = Syn_RToverall ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.036 0.038 1.000
COVID_Grouping 0.500 0.964 26.557 26.557 1.590
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - Syn_RToverall
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.964 0.036 26.557
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.082 0.064 -0.206 0.048
COVID_Grouping 0 -0.204 0.063 -0.330 -0.077
1 0.204 0.063 0.076 0.329
Q1.01Age_Text 0.011 0.004 0.003 0.019
Q1.02Sex_Quantised 0.035 0.107 -0.179 0.246
Q1.03Country_Quantised 0.056 0.030 -0.004 0.115
Q1.08.Education_Quantised 0.022 0.024 -0.025 0.069
Q2.04.21Depression -0.223 0.162 -0.552 0.102
Q2.04.22Anxiety 0.067 0.152 -0.240 0.369

Model Averaged Q-Q Plot

Descriptives

Descriptives - Syn_RToverall
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 83 -0.330 0.890 0.098 -2.694 -0.524 -0.136
1 202 0.136 1.013 0.071 7.467 -0.005 0.276

WCST accu

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = WCST_Correct ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.808 4.206 1.000
COVID_Grouping 0.500 0.192 0.238 0.238 1.647
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - WCST_Correct
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.192 0.808 0.238
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept 0.005 0.057 -0.107 0.120
COVID_Grouping 0 0.060 0.060 -0.059 0.180
1 -0.060 0.060 -0.181 0.058
Q1.01Age_Text -0.019 0.004 -0.027 -0.011
Q1.02Sex_Quantised -0.097 0.106 -0.310 0.110
Q1.03Country_Quantised -0.059 0.029 -0.118 -8.025×10-4
Q1.08.Education_Quantised 0.105 0.024 0.058 0.152
Q2.04.21Depression 0.056 0.159 -0.267 0.375
Q2.04.22Anxiety 0.141 0.149 -0.158 0.437

Model Averaged Q-Q Plot

Descriptives

Descriptives - WCST_Correct
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 85 0.078 0.953 0.103 12.144 -0.127 0.284
1 207 -0.032 1.019 0.071 -31.626 -0.172 0.107

WCST RT

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = WCST_RT_correct ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised", "Q2.04.21Depression", "Q2.04.22Anxiety"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q2.04.22Anxiety` + `Q2.04.21Depression` + `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety) 0.500 0.509 1.036 1.000
COVID_Grouping 0.500 0.491 0.966 0.966 1.598
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised, Q2.04.21Depression, Q2.04.22Anxiety.
Analysis of Effects - WCST_RT_correct
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.491 0.509 0.966
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.024 0.063 -0.151 0.099
COVID_Grouping 0 -0.119 0.061 -0.239 0.003
1 0.119 0.061 -0.004 0.238
Q1.01Age_Text 0.021 0.004 0.013 0.029
Q1.02Sex_Quantised -0.040 0.106 -0.253 0.168
Q1.03Country_Quantised 0.062 0.030 0.002 0.123
Q1.08.Education_Quantised -0.009 0.023 -0.055 0.038
Q2.04.21Depression -0.101 0.163 -0.432 0.224
Q2.04.22Anxiety -0.125 0.150 -0.427 0.171

Model Averaged Q-Q Plot

Descriptives

Descriptives - WCST_RT_correct
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 85 -0.202 0.994 0.108 -4.921 -0.416 0.012
1 203 0.085 0.993 0.070 11.740 -0.053 0.222

no outliers item verbal mem RTs

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = VMemoryRecog_RTOverall ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) 0.500 0.543 1.189 1.000
COVID_Grouping 0.500 0.457 0.841 0.841 2.267
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised.
Analysis of Effects - VMemoryRecog_RTOverall
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.457 0.543 0.841
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.023 0.064 -0.153 0.101
COVID_Grouping 0 -0.116 0.061 -0.237 0.006
1 0.116 0.061 -0.007 0.236
Q1.01Age_Text 0.019 0.004 0.011 0.027
Q1.02Sex_Quantised -0.121 0.109 -0.338 0.097
Q1.03Country_Quantised 0.022 0.031 -0.040 0.083
Q1.08.Education_Quantised -0.026 0.024 -0.074 0.021

Model Averaged Q-Q Plot

Descriptives

Descriptives - VMemoryRecog_RTOverall
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 84 -0.175 0.918 0.100 -5.247 -0.374 0.024
1 207 0.071 1.025 0.071 14.440 -0.069 0.211

no outliers Asso verbal mem RT

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = VMemoryAsso_RTOverall ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) 0.500 0.864 6.351 1.000
COVID_Grouping 0.500 0.136 0.157 0.157 2.411
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised.
Analysis of Effects - VMemoryAsso_RTOverall
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.136 0.864 0.157
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.002 0.057 -0.118 0.112
COVID_Grouping 0 -0.030 0.060 -0.150 0.092
1 0.030 0.060 -0.093 0.149
Q1.01Age_Text 0.019 0.004 0.011 0.027
Q1.02Sex_Quantised -0.096 0.110 7.816×10-4 0.039
Q1.03Country_Quantised 0.033 0.031 -0.030 0.094
Q1.08.Education_Quantised -0.003 0.024 -0.052 0.045

Model Averaged Q-Q Plot

Descriptives

Descriptives - VMemoryAsso_RTOverall
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 84 -0.065 0.995 0.109 -15.214 -0.281 0.151
1 208 0.026 1.003 0.070 37.988 -0.111 0.164

no outliers item nonverb mem accu

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = NVMemoryRecog_CorrectPercent ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) 0.500 0.868 6.573 1.000
COVID_Grouping 0.500 0.132 0.152 0.152 1.572
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised.
Analysis of Effects - NVMemoryRecog_CorrectPercent
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.132 0.868 0.152
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -8.644×10-4 0.061 -0.126 0.123
COVID_Grouping 0 -0.023 0.064 -0.150 0.106
1 0.023 0.064 -0.107 0.148
Q1.01Age_Text -0.003 0.004 -0.011 0.005
Q1.02Sex_Quantised -0.007 0.115 -0.237 0.224
Q1.03Country_Quantised 0.039 0.031 -0.023 0.102
Q1.08.Education_Quantised 0.004 0.025 -0.047 0.053

Model Averaged Q-Q Plot

Descriptives

Descriptives - NVMemoryRecog_CorrectPercent
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 83 -0.025 0.957 0.105 -37.829 -0.234 0.184
1 185 0.011 1.021 0.075 89.965 -0.137 0.159

no outliers item nonverb mem RT

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = NVMemoryRecog_RTOverall ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) 0.500 0.583 1.396 1.000
COVID_Grouping 0.500 0.417 0.716 0.716 2.289
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised.
Analysis of Effects - NVMemoryRecog_RTOverall
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.417 0.583 0.716
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.019 0.063 -0.149 0.104
COVID_Grouping 0 -0.111 0.061 -0.232 0.011
1 0.111 0.061 -0.012 0.231
Q1.01Age_Text 0.018 0.004 0.009 0.026
Q1.02Sex_Quantised -0.062 0.109 -0.281 0.155
Q1.03Country_Quantised -0.009 0.030 -0.069 0.050
Q1.08.Education_Quantised -0.038 0.024 -0.086 0.009

Model Averaged Q-Q Plot

Descriptives

Descriptives - NVMemoryRecog_RTOverall
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 86 -0.159 0.918 0.099 -5.765 -0.356 0.038
1 203 0.067 1.028 0.072 15.241 -0.075 0.210

no outliers asso nonverb mem RTs

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = NVMemoryAsso_RTOverall ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) 0.500 0.844 5.423 1.000
COVID_Grouping 0.500 0.156 0.184 0.184 1.939
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised.
Analysis of Effects - NVMemoryAsso_RTOverall
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.156 0.844 0.184
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.003 0.058 -0.121 0.113
COVID_Grouping 0 -0.047 0.061 -0.167 0.076
1 0.047 0.061 -0.077 0.166
Q1.01Age_Text 0.015 0.004 0.007 0.023
Q1.02Sex_Quantised -0.146 0.110 -0.365 0.073
Q1.03Country_Quantised 0.010 0.031 -0.051 0.071
Q1.08.Education_Quantised -0.030 0.024 -0.079 0.017

Model Averaged Q-Q Plot

Descriptives

Descriptives - NVMemoryAsso_RTOverall
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 86 -0.058 1.013 0.109 -17.517 -0.275 0.159
1 209 0.024 0.996 0.069 41.852 -0.112 0.160

no outliers Syntax task acc

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = SynCorrPerc ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) 0.500 0.585 1.411 1.000
COVID_Grouping 0.500 0.415 0.709 0.709 1.829
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised.
Analysis of Effects - SynCorrPerc
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.415 0.585 0.709
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept 0.019 0.064 -0.105 0.148
COVID_Grouping 0 0.111 0.062 -0.012 0.236
1 -0.111 0.062 -0.238 0.011
Q1.01Age_Text -0.012 0.004 -0.020 -0.004
Q1.02Sex_Quantised -0.155 0.110 -0.375 0.065
Q1.03Country_Quantised -0.093 0.031 -0.155 -0.033
Q1.08.Education_Quantised 0.036 0.024 -0.012 0.085

Model Averaged Q-Q Plot

Descriptives

Descriptives - SynCorrPerc
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 83 0.161 0.853 0.094 5.299 -0.025 0.347
1 199 -0.067 1.050 0.074 -15.630 -0.214 0.080

no outliers WCST RT

jaspAnova::AncovaBayesian(
        version = "0.18.3",
        formula = WCST_RT_correct ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping,
        isNuisance = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text`,
        covariates = list("Q1.01Age_Text", "Q1.02Sex_Quantised", "Q1.03Country_Quantised", "Q1.08.Education_Quantised"),
        bayesFactorOrder = "nullModelTop",
        customPriorSpecification = list(list(components = "COVID_Grouping", inclusionProbability = 0.5, scaleFixedEffects = 0.5)),
        descriptives = TRUE,
        effects = TRUE,
        posteriorEstimates = TRUE,
        qqPlot = TRUE,
        seed = 123,
        setSeed = TRUE,
        singleModelTerms = ~ `Q1.08.Education_Quantised` + `Q1.03Country_Quantised` + `Q1.02Sex_Quantised` + `Q1.01Age_Text` + COVID_Grouping)
Model Comparison
Models P(M) P(M|data) BFM BF10 error %
Null model (incl. Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised) 0.500 0.428 0.749 1.000
COVID_Grouping 0.500 0.572 1.336 1.336 3.855
Note.  All models include Q1.01Age_Text, Q1.02Sex_Quantised, Q1.03Country_Quantised, Q1.08.Education_Quantised.
Analysis of Effects - WCST_RT_correct
Effects P(incl) P(excl) P(incl|data) P(excl|data) BFincl
COVID_Grouping 0.500 0.500 0.572 0.428 1.336
Model Averaged Posterior Summary
95% Credible Interval
Variable Level Mean SD Lower Upper
Intercept -0.030 0.064 -0.160 0.094
COVID_Grouping 0 -0.128 0.059 -0.247 -0.009
1 0.128 0.059 0.008 0.246
Q1.01Age_Text 0.022 0.004 0.014 0.030
Q1.02Sex_Quantised -0.040 0.108 -0.254 0.176
Q1.03Country_Quantised 0.068 0.031 0.007 0.129
Q1.08.Education_Quantised -0.008 0.024 -0.055 0.039

Model Averaged Q-Q Plot

Descriptives

Descriptives - WCST_RT_correct
95% Credible Interval
COVID_Grouping N Mean SD SE Coefficient of variation Lower Upper
0 85 -0.202 0.994 0.108 -4.921 -0.416 0.012
1 203 0.085 0.993 0.070 11.740 -0.053 0.222